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Debt default, financial risk transmission and governance from the perspective of supply chain network

The stock risk spillovers of 31 associated enterprises of Evergrande supply chain in China were measured with DCC-GARCH and CoVaR model, and high, moderate and low risk overflow networks in four periods were constructed, finally the overall metrics and dynamic evolution of risk spillover network wer...

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Detalles Bibliográficos
Autores principales: Zhang, Yongli, Nan, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010984/
https://www.ncbi.nlm.nih.gov/pubmed/36925535
http://dx.doi.org/10.1016/j.heliyon.2023.e14224
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author Zhang, Yongli
Nan, Xi
author_facet Zhang, Yongli
Nan, Xi
author_sort Zhang, Yongli
collection PubMed
description The stock risk spillovers of 31 associated enterprises of Evergrande supply chain in China were measured with DCC-GARCH and CoVaR model, and high, moderate and low risk overflow networks in four periods were constructed, finally the overall metrics and dynamic evolution of risk spillover network were explored. The results showed that: With COVID-19 under control in China, the risk spillover of Evergrande supply chain associated enterprises continues to diverge, with the quantity and scope of high risk declining and moderate and low risk rising; The infection scope of high risk spillover has narrowed, from indirect to direct infection; Evergrande subsidiaries play obvious bridge roles in moderate and low risk networks, have strong control over the risk spread; Commercial banks suffer and trigger more risk spillovers, a number of risk spillover groups with commercial banks as cores formed in high and moderate risk networks.
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spelling pubmed-100109842023-03-15 Debt default, financial risk transmission and governance from the perspective of supply chain network Zhang, Yongli Nan, Xi Heliyon Research Article The stock risk spillovers of 31 associated enterprises of Evergrande supply chain in China were measured with DCC-GARCH and CoVaR model, and high, moderate and low risk overflow networks in four periods were constructed, finally the overall metrics and dynamic evolution of risk spillover network were explored. The results showed that: With COVID-19 under control in China, the risk spillover of Evergrande supply chain associated enterprises continues to diverge, with the quantity and scope of high risk declining and moderate and low risk rising; The infection scope of high risk spillover has narrowed, from indirect to direct infection; Evergrande subsidiaries play obvious bridge roles in moderate and low risk networks, have strong control over the risk spread; Commercial banks suffer and trigger more risk spillovers, a number of risk spillover groups with commercial banks as cores formed in high and moderate risk networks. Elsevier 2023-03-07 /pmc/articles/PMC10010984/ /pubmed/36925535 http://dx.doi.org/10.1016/j.heliyon.2023.e14224 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Zhang, Yongli
Nan, Xi
Debt default, financial risk transmission and governance from the perspective of supply chain network
title Debt default, financial risk transmission and governance from the perspective of supply chain network
title_full Debt default, financial risk transmission and governance from the perspective of supply chain network
title_fullStr Debt default, financial risk transmission and governance from the perspective of supply chain network
title_full_unstemmed Debt default, financial risk transmission and governance from the perspective of supply chain network
title_short Debt default, financial risk transmission and governance from the perspective of supply chain network
title_sort debt default, financial risk transmission and governance from the perspective of supply chain network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010984/
https://www.ncbi.nlm.nih.gov/pubmed/36925535
http://dx.doi.org/10.1016/j.heliyon.2023.e14224
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